جستجوی مقالات مرتبط با کلیدواژه « cyberchondria » در نشریات گروه « روانشناسی »

In today's world, the Internet has become a very important and vital part of our lives. One of the harmful effects of excessive use of the Internet in relation to health is cyberchondria. This related to an increase in the level of anxiety or health distress, and in other words, it is a type of anxiety that leads to searching for health-related information online, and this causes an increase in the level of anxiety, worry and unnecessary expenses. The aim of this study was to investigate the Psychometric properties of the short form of Cyberchondria questionnaire.

The present study applied in terms of purpose and its method is descriptive and psychometric studies. The statistical population of the present study was students of public and private universities in Isfahan in 1398. For the present study, 566 students (344 females and 223 males) from Isfahan University students selected by stratified random sampling method using virtual self-examination questionnaires (McElroy and Shevlin, 2014) and health anxiety questionnaire. (Salkovskis and Warwick, 2002) responded. Research data analyzed using SPSS 23 and AMOS 22 software.

The findings showed that in the virtual Cyberchondria questionnaire measurement model, all factor loads including compulsion (0.714), distress (0.878), excessiveness (0.805), and reassurance (0.921) were significant. (P <0.001). In addition, the CVI coefficient for all items of the Cyberchondria questionnaire was higher than 0.9 and the intra-class correlation coefficient of the questionnaire resulting from its two implementation was equal to 0.971, which is at a safe distance and is higher than the acceptable value. The reliability obtained using Cronbach's alpha and halving coefficient for the whole questionnaire and all four dimensions is higher than 0.7. The findings also showed that there was a positive and significant relationship between Cyberchondria questionnaire and health anxiety (P <0.001) and the correlation coefficient of the two questionnaires was 0.782.

Health-related internet use, in the context of health anxiety is best conceptualized as health-related safety behavior maintained through intermittent reinforcement. In general, according to the results of validity and reliability, the virtual autopsy questionnaire can used in psychological research. Also, these results support the psychometric characteristics and validity of the virtual self-diagnosis questionnaire among the non-clinical sample, and it can be said that this questionnaire is approved in the Iranian sample and has psychometric characteristics and practical tools for diagnosis. It can also used in a short period of time due to the short length of the too

The aim of this study was to compare Intolerance of uncertainty, Cyberchondria and Health anxiety in obsessive-compulsive disorder, general anxiety disorder, depressive disorder and normal people. The method of the present study was causal-comparative. For this purpose, a sample was selected from 50 eligible patients with obsessive-compulsive disorder and 50 patients with general anxiety disorder and 50 patients depressive disorder to 505 Army Psychiatric Hospital in Tehran and 50 hospital staff (normal group). Were selected by available sampling method Research instruments include the The IUS-12(intolerance of uncertainty The Short version)CSS-12 (Cyberchondria Severity Scale) and the health anxiety Inventory . Descriptive statistics (mean and standard deviation) and inferential statistics (multivariate analysis of variance)were used to measure and to analyze the findings. Findings showed that there is a significant difference between the Intolerance of uncertainty, Cyberchondria and Health anxiety in the four groups. The mean score of people with general anxiety disorder in all components of Intolerance of uncertainty is higher than other groupe. Also All components of Cyberchondria, Health anxiety in the group of obsessive-compulsive groupe is higher than other groupe.Conclusion The results indicate the importance and necessity of paying attention to the Intolerance of uncertainty, Cyberchondria and Health anxiety in obsessive-compulsive disorder, general anxiety disorder, depressive disorder.

Cyberchondria can be considered one of the emerging challenges in the Internet age. Emphasizing that self-esteem and obsessive-compulsive symptoms are one of the main topics of research in young people, and it is necessary to identify the factors related to the increase of cyberchondria. For this purpose, the aim of the present study was the mediating role of obsessive-compulsive syndrome in the relationship between self-esteem and cyberchondria in students.

The design of the current research was descriptive and correlational. The statistical population studied in the present study were the students of Azarbaijan Shahid Madani University, 262 of person were selected by multi-stage cluster random sampling. McElroy and Shulin's (CSS) cyberchondria questionnaire, Fua et al. (OCD-R), and Rosenberg's self-esteem questionnaire (SES) were used to collect information. Analysis of research data was done using SPSS and Lisrel software.

The results of structural equation modeling showed that the measured model of the research has a good fit with the conceptual model. Regarding direct effects, the results show that self-esteem has a direct relationship with cyberchondria and obsessive-compulsive symptoms. Also, obsessive-compulsive syndrome has a direct relationship with cyberchondria. As for the indirect effect, the results showed that obsessive-compulsive symptoms have a mediating effect on the relationship between self-esteem and cyberchondria.

The results of the research showed that obsessive-compulsive disorder plays a mediating role in the relationship between self-esteem and cyberchondria. Paying attention to this impact mechanism can be effective in formulating effective preventive and therapeutic interventions for cyberchondria.

Nurses are more often exposed to cyberchondria owing to their frequent contact with patients. Thus, the present study was carried out to compare the effectiveness of metacognitive and compassion therapies on the level of cyberchondria symptoms in nurses. The research utilized an experimental method involving a pre-test, post-test and follow-up design. As for the sample size, 60 nurses from hospitals in Tabriz participated in the research in 2022. Through random selection, the nurses were assigned to three groups, i.e. metacognitive therapy, compassion therapy and control group. McLurry and Shevlin’s Cyberchondria Scale (CSS) was employed for data collection. Next, the researchers carried out data analysis with the use of the mixed analysis of variance model, Tukey's and Benferroni's post hoc tests, using SPSS statistical software (version 22). A significant P value of less than 0.05 was observed. The time factor proved to have a significant impact on the amount of cyberchondria dimensions. In other words, the level of cyberchondria dimensions decreased from pre-test to follow-up. Moreover, the interaction effect of time and group also revealed that there were significant variations among the three groups (i.e. metacognitive therapy group, compassion therapy group and control group) in terms of compulsion, distress, excessiveness and reassurance. In other words, the level of cyberchondria dimensions in the intervention groups was lower than that of the control group in the post-test and the follow-up phases. Given the effectiveness of metacognitive and compassion therapies on cyberchondria symptoms, it seems that the application of metacognitive therapy and compassion therapy interventions will alleviate and treat cyberchondria symptoms in nurses.

The current research aimed to predict the Cyberchondria and anxiety of COVID-19 based on internet addiction in the COVID-19 pandemic in the households of Marvdasht city. According to the purpose of this research, it was a basic research type, and with a descriptive research design. The statistical population of households in Marvdasht city was 100 people, who were selected by the convenience sampling method. The research tools were Alipour et al.'s Corona Virus Anxiety Scale (2019), Mehdi Reza Sarafaraz et al.'s Cyberchondria Severity Scale (2020), and Young's Internet Addiction Test (1998) by Kimberly Young. The data were analyzed using SPSS software. After collecting and extracting the data, the scores of the participants were analyzed using Pearson's correlation coefficient and regression. The results of Pearson's correlation coefficient show that there is a positive and significant relationship between Cyberchondria and Internet addiction, and no significant relationship was found between the anxiety of COVID-19 and Internet addiction. Also, the regression results showed that Internet addiction was a significant predictor of Cyberchondria. As a result, people who deal with the Internet more than others, such as people who suffer from Internet addiction disorder and spend many hours on the Internet. More than other people, seek to solve their problems, including medical problems, through the information available on the Internet, which increases their risk of Cyberchondria and a positive and meaningful correlation between Internet addiction and Cyberchondria.

The aim of this study was to investigate the relationship between early maladaptive schemas with cyberchondria with the mediating role of emotion regulation in students. The research method is correlational. The study sample was 337 people who were selected by available method as an online call in the academic year 2020-2021. from among the students of the Islamic Azad University of Tabriz. To collect data, Young's (2007) Early Maladaptive Schema Questionnaire, the Cybercondria Questionnaire (Fergus, 2014) and the Cognitive Emotion Regulation Strategies Questionnaire (Grenfsky et al. 2001) were used. The collected data were analyzed using structural equation tests with Amos software and SPSS 23. Results showed that there is a negative relationship between early maladaptive schemas and positive emotion strategies and a positive relationship with negative emotion strategies. There is a negative relationship between positive emotion strategies and cyperchondria and a positive relationship between negative emotion strategies and cyperchondria. There is no direct relationship between early maladaptive schemas and cyperchondria. There is an indirect relationship between early maladaptive schemas with cyberchondria and the mediating role of cognitive emotion regulation. Finally, the results showed that the variables of primary maladaptive schemas and cognitive regulatory strategies of positive and negative emotions are able to explain 34.4% of the variance of Cypkendria mental illness.

Cyberchondria is a new form of hypochondria in that repetitive searching of online medical information increases anxiety and distress in people and continues with repetitive and inconclusive tries in reassurance seeking. Cyberchondria Severity Scale (CSS) designed to diagnose this phenomenon in non-Iranian sample, but this scale not studied from validation view in Iranian population yet, so aim of this study was to evaluation of CSS psychometric properties in Iranian sample.

200 persons were chosen by convenience sampling method and answered to Cyberchondria Severity Scale (CSS), Depression, Anxiety and Stress Scale (DASS 21) and Short Health Anxiety Inventory (SHAI).

Exploratory factor analysis (EFA) revealed 4 Factors that except one of factors (reassurance/mistrust), other factors was same as original version of the scale. Internal consistency and validations of scale was approved (p < 0/001).

Based on findings, this scale recognize 4 factors in Iranian population: compulsion, reassurance/mistrust, excessiveness and distress and is useable in Iranian research and clinical cases.